| This course syllabus is discontinued or replaced by a new course syllabus. |
|
Course Syllabus |
| Computer Engineering, Master Thesis in Robotics and Intelligent Systems, Second Level, 30 Credits | |||
| Course Code: | DT4010 | Subject Area: | Field of Technology |
|---|---|---|---|
| Main Field of Study: | Computer Technology | Credits: | 30 |
| Subject Group (SCB): | Computer Science | ||
| Education Cycle: | Second Cycle | Progression: | A2E |
| Established: | 2007-10-01 | Last Approved: | 2010-09-29 |
| Valid from: | Spring semester 2011 | Approved by: | Head of School |
General aims for second cycle education
Second-cycle courses and study programmes shall involve the acquisition of specialist knowledge, competence and skills in relation to first-cycle courses and study programmes, and in addition to the requirements for first-cycle courses and study programmes shall
- further develop the ability of students to integrate and make autonomous use of their knowledge
- develop the students' ability to deal with complex phenomena, issues and situations, and
- develop the students' potential for professional activities that demand considerable autonomy, or for research and development work.
(Higher Education Act, Chapter 1, Section 9)
Knowledge and comprehension
After having completed the course the student shall:
- have increased knowledge of the subject
- demonstrate knowledge of for the thesis relevant technologies
- develop the students' ability to deal with complex phenomena, issues and situations; and
- develop the students' potential for professional activities that demand considerable independence or for research and development work.
Proficiency and ability
After having completed the course the student shall:
- be able to draft and define scientific problems, and search and critical science information
- be able to plan a science study, and accomplish the plan
- be able to process and analyze scientific results
- have the ability to present the project and its findings orally and in writing in a way that follows the instruction, is linguistically correct, well structured, comprehensible, and with a content that is relevant to the project, logical and scientifically sound and well founded
- shown knowledge and understanding in analysing and developing intelligent systems,
- demonstrated a broad range of knowledge about intelligent systems and their application within robotics,
- demonstrated profound knowledge in certain parts of intelligent systems that are related to current research and development projects,
- demonstrated a profound knowledge of methods within robotics and intelligent systems.
Values and attitude
After having completed the course the student shall:
- have the ability to orientate about current knowledge/research development and working methods used in the field
- have a professional approach in their relationships with clients, employees and other groups
- have a professional approach to the final product of the project, with particular emphasis on reliability, usability and documentation.
Course Unit I: Experimental or theoretical work, 24 higher education credits.
The student performs individual practical experimental or theoretic science project. Including presentation of a problem, searching of relevant literature, planning, designing and performance of a science project. Topic is chosen together with the supervisor.
Course Unit II: Written and oral presentation, 6 higher education credits.
The student performs processing, critical, and written and oral presentation of the work.
Supervision and independent work.
Students who have been admitted to and registered on a course have the right to receive tuition and/or supervision for the duration of the time period specified for the particular course to which they were accepted (see, the university's admission regulations (in Swedish)). After that, the right to receive tuition and/or supervision expires.
For further information, see the university's local examination regulations (in Swedish).
According to the Higher Education Ordinance, Chapter 6, Section 18, a grade is to be awarded on the completion of a course, unless otherwise prescribed by the university. The university may prescribe which grading system shall apply. The grade is to be determined by a teacher specifically appointed by the university (an examiner).
According to regulations on grading systems for first- and second-cycle education (vice-chancellor's decision 2010-10-19, reg. no. CF 12-540/2010), one of the following grades is to be used: fail, pass, or pass with distinction. The vice-chancellor or a person appointed by the vice-chancellor may decide on exceptions from this provision for a specific course, if there are special reasons.
Grades used on course are Fail (U), Pass (G) or Pass with Distinction (VG).
For further information, see the university's local examination regulations (in Swedish).
Students must be accepted to the program in Robotics and Intelligent Systems and have completed a minimum of 90 ECTS credits in the program.
For further information, see the university's admission regulations (in Swedish).
Students who have previously completed higher education or other activities are, in accordance with the Higher Education Ordinance, entitled to have these credited towards the current programme, providing that the previous studies or activities meet certain criteria.
For further information, see the university's local credit transfer regulations (in Swedish).
Examination:
Course unit I have to be passed (G) before examination on course unit II.
The master thesis shall be presented as a report. The master thesis shall even be presented orally at a seminar with an examination committee.
To receive Pass with Distinction (VG) on the course, the student requires Pass (G) on course unit I and Pass with Distinction (VG) on course unit II.
Students can choose to complete the course in another district, university or research group, than Örebro and/or within a company or organization.
The number of examinations is limited to two on Course Module I and five on Course Module II. If course module I is failed, the student get one extra chance to do the work. At a fail grade on course module II gives a first opportunity for new trial after two-five weeks. Then given the opportunity to examine at the end of the next three semesters.
If deficiencies at an examination are considered as minor, the examiner after consultation with the supervisor can decide whether additional data should be submitted and examiner also decides the time frames for these.
Transitional Provisions
Missing
Additional Reading
Kurslitteratur fastställs av handledaren med hänsyn till examensarbetets karaktär.